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Diouf M, Zoclanclounon YAB, Mboup PA, Diouf D, Malédon E, Rivallan R, Chair H, Dossa K. Genome-wide development of intra- and inter-specific transferable SSR markers and construction of a dynamic web resource for yam molecular breeding: Y2MD. THE PLANT GENOME 2024:e20428. [PMID: 38234122 DOI: 10.1002/tpg2.20428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 12/04/2023] [Accepted: 12/23/2023] [Indexed: 01/19/2024]
Abstract
Microsatellite markers are widely used in population genetics and breeding. Despite the economic significance of yams in developing countries, there is a paucity of microsatellite markers, and as of now, no comprehensive microsatellite marker database exists. In this study, we conducted genome-wide microsatellite marker development across four yam species, identified cross-species transferable markers, and designed an easy-to-use web portal for the yam researchers. The screening of Dioscorea alata, Dioscorea rotundata, Dioscorea dumetorum, and Dioscorea zingiberensis genomes resulted in 318,713, 322,501, 307,040, and 253,856 microsatellites, respectively. Mono-, di-, and tri-nucleotides were the most important types of repeats in the different species, and a total of 864,128 primer pairs were designed. Furthermore, we identified 1170 cross-species transferable microsatellite markers. Among them, 17 out of 18 randomly selected were experimentally validated with good discriminatory power, regardless of the species and ploidy levels. Ultimately, we created and deployed a dynamic Yam Microsatellite Markers Database (Y2MD) available at https://y2md.ucad.sn/. Y2MD is embedded with various useful tools such as JBrowse, Blast, insilicoPCR, and SSR Finder to facilitate the exploitation of microsatellite markers in yams. This study represents the first comprehensive microsatellite marker mining across several yam species and will contribute to advancing yam genetic research and marker-assisted breeding. The released user-friendly database constitutes a valuable platform for yam researchers.
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Affiliation(s)
- Moussa Diouf
- Département de Mathématiques et Informatique, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, Dakar, Senegal
- Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, Dakar, Senegal
| | | | - Pape Adama Mboup
- Département de Mathématiques et Informatique, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, Dakar, Senegal
| | - Diaga Diouf
- Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, Dakar, Senegal
| | - Erick Malédon
- UMR AGAP Institut, CIRAD, Petit Bourg, France
- UMR AGAP Institut, University of Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Ronan Rivallan
- UMR AGAP Institut, University of Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Hâna Chair
- UMR AGAP Institut, University of Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Komivi Dossa
- UMR AGAP Institut, CIRAD, Petit Bourg, France
- UMR AGAP Institut, University of Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
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Savadi S, Muralidhara BM, Venkataravanappa V, Adiga JD. Genome-wide survey and characterization of microsatellites in cashew and design of a web-based microsatellite database: CMDB. FRONTIERS IN PLANT SCIENCE 2023; 14:1242025. [PMID: 37670858 PMCID: PMC10475544 DOI: 10.3389/fpls.2023.1242025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 07/31/2023] [Indexed: 09/07/2023]
Abstract
The cashew is an edible tree nut crop having a wide range of food and industrial applications. Despite great economic importance, the genome-wide characterization of microsatellites [simple sequence repeats (SSRs)] in cashew is lacking. In this study, we carried out the first comprehensive genome-wide microsatellites/SSRs characterization in cashew and developed polymorphic markers and a web-based microsatellite database. A total of 54526 SSRs were discovered in the cashew genome, with a mean frequency of 153 SSRs/Mb. Among the mined genome-wide SSRs (2-6 bp size motifs), the dinucleotide repeat motifs were dominant (68.98%) followed by the trinucleotides (24.56%). The Class I type of SSRs (≥20 bp) were 45.10%, while Class II repeat motifs (≥12-<20 bp) were 54.89% of the total genomic SSRs discovered here. Further, the AT-rich SSRs occurred more frequently in the cashew genome (84%) compared to the GC-rich SSRs. The validation of the in silico-mined genome-wide SSRs by PCR screening in cashew genotypes resulted in the development of 59 polymorphic SSR markers, and the polymorphism information content (PIC) of the polymorphic SSR markers ranged from 0.19 to 0.84. Further, a web-based database, "Cashew Microsatellite Database (CMDB)," was constructed to provide access to the genome-wide SSRs mined in this study as well as transcriptome-based SSRs from our previous study to the research community through a user-friendly searchable interface. Besides, CMDB provides information on experimentally validated SSRs. CMDB permits the retrieval of SSR markers information with the customized search options. Altogether, the genome-wide SSRs characterization, the polymorphic markers and CMDB database developed in this study would serve as valuable marker resources for DNA fingerprinting, germplasm characterization, genetic studies, and molecular breeding in cashew and related Anacardium species.
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Affiliation(s)
- Siddanna Savadi
- ICAR- Directorate of Cashew Research (DCR), Puttur, Karnataka, India
| | - B. M. Muralidhara
- ICAR-Indian Institute of Horticultural Research (IIHR), CHES, Madikeri, Karnataka, India
| | - V. Venkataravanappa
- ICAR-Indian Institute of Horticultural Research (IIHR), CHES, Madikeri, Karnataka, India
| | - J. D. Adiga
- ICAR- Directorate of Cashew Research (DCR), Puttur, Karnataka, India
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Ogiso-Tanaka E, Chankaew S, Yoshida Y, Isemura T, Marubodee R, Kongjaimun A, Baba-Kasai A, Okuno K, Ehara H, Tomooka N. Unique Salt-Tolerance-Related QTLs, Evolved in Vigna riukiuensis (Na + Includer) and V. nakashimae (Na + Excluder), Shed Light on the Development of Super-Salt-Tolerant Azuki Bean ( V. angularis) Cultivars. PLANTS (BASEL, SWITZERLAND) 2023; 12:1680. [PMID: 37111908 PMCID: PMC10146836 DOI: 10.3390/plants12081680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 06/19/2023]
Abstract
Wild relatives of crops have the potential to improve food crops, especially in terms of improving abiotic stress tolerance. Two closely related wild species of the traditional East Asian legume crops, Azuki bean (Vigna angularis), V. riukiuensis "Tojinbaka" and V. nakashimae "Ukushima" were shown to have much higher levels of salt tolerance than azuki beans. To identify the genomic regions responsible for salt tolerance in "Tojinbaka" and "Ukushima", three interspecific hybrids were developed: (A) azuki bean cultivar "Kyoto Dainagon" × "Tojinbaka", (B) "Kyoto Dainagon" × "Ukushima" and (C) "Ukushima" × "Tojinbaka". Linkage maps were developed using SSR or restriction-site-associated DNA markers. There were three QTLs for "percentage of wilt leaves" in populations A, B and C, while populations A and B had three QTLs and population C had two QTLs for "days to wilt". In population C, four QTLs were detected for Na+ concentration in the primary leaf. Among the F2 individuals in population C, 24% showed higher salt tolerance than both wild parents, suggesting that the salt tolerance of azuki beans can be further improved by combining the QTL alleles of the two wild relatives. The marker information would facilitate the transfer of salt tolerance alleles from "Tojinbaka" and "Ukushima" to azuki beans.
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Affiliation(s)
- Eri Ogiso-Tanaka
- Genetic Resources Center, National Institute of Agrobiological Sciences (NIAS), 2-1-2 Kannondai, Tsukuba 305-8602, Ibaraki, Japan
| | - Sompong Chankaew
- Program in Plant Breeding, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen, Nakhon Pathom 73140, Thailand
| | - Yutaro Yoshida
- Graduate School of Life and Environmental Sciences, University of Tsukuba, Tennohdai 1-1-1, Tsukuba 305-8571, Ibaraki, Japan
| | - Takehisa Isemura
- Genetic Resources Center, National Institute of Agrobiological Sciences (NIAS), 2-1-2 Kannondai, Tsukuba 305-8602, Ibaraki, Japan
| | - Rusama Marubodee
- Graduate School of Bioresources, Mie University, 1577 Kurimamachiya-cho, Tsu 514-0102, Mie, Japan
| | - Alisa Kongjaimun
- Genetic Resources Center, National Institute of Agrobiological Sciences (NIAS), 2-1-2 Kannondai, Tsukuba 305-8602, Ibaraki, Japan
| | - Akiko Baba-Kasai
- Genetic Resources Center, National Institute of Agrobiological Sciences (NIAS), 2-1-2 Kannondai, Tsukuba 305-8602, Ibaraki, Japan
| | - Kazutoshi Okuno
- Graduate School of Life and Environmental Sciences, University of Tsukuba, Tennohdai 1-1-1, Tsukuba 305-8571, Ibaraki, Japan
| | - Hiroshi Ehara
- Graduate School of Bioresources, Mie University, 1577 Kurimamachiya-cho, Tsu 514-0102, Mie, Japan
| | - Norihiko Tomooka
- Genetic Resources Center, National Institute of Agrobiological Sciences (NIAS), 2-1-2 Kannondai, Tsukuba 305-8602, Ibaraki, Japan
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Jha UC, Nayyar H, Parida SK, Bakır M, von Wettberg EJB, Siddique KHM. Progress of Genomics-Driven Approaches for Sustaining Underutilized Legume Crops in the Post-Genomic Era. Front Genet 2022; 13:831656. [PMID: 35464848 PMCID: PMC9021634 DOI: 10.3389/fgene.2022.831656] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 02/24/2022] [Indexed: 12/22/2022] Open
Abstract
Legume crops, belonging to the Fabaceae family, are of immense importance for sustaining global food security. Many legumes are profitable crops for smallholder farmers due to their unique ability to fix atmospheric nitrogen and their intrinsic ability to thrive on marginal land with minimum inputs and low cultivation costs. Recent progress in genomics shows promise for future genetic gains in major grain legumes. Still it remains limited in minor legumes/underutilized legumes, including adzuki bean, cluster bean, horse gram, lathyrus, red clover, urd bean, and winged bean. In the last decade, unprecedented progress in completing genome assemblies of various legume crops and resequencing efforts of large germplasm collections has helped to identify the underlying gene(s) for various traits of breeding importance for enhancing genetic gain and contributing to developing climate-resilient cultivars. This review discusses the progress of genomic resource development, including genome-wide molecular markers, key breakthroughs in genome sequencing, genetic linkage maps, and trait mapping for facilitating yield improvement in underutilized legumes. We focus on 1) the progress in genomic-assisted breeding, 2) the role of whole-genome resequencing, pangenomes for underpinning the novel genomic variants underlying trait gene(s), 3) how adaptive traits of wild underutilized legumes could be harnessed to develop climate-resilient cultivars, 4) the progress and status of functional genomics resources, deciphering the underlying trait candidate genes with putative function in underutilized legumes 5) and prospects of novel breeding technologies, such as speed breeding, genomic selection, and genome editing. We conclude the review by discussing the scope for genomic resources developed in underutilized legumes to enhance their production and play a critical role in achieving the "zero hunger" sustainable development goal by 2030 set by the United Nations.
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Affiliation(s)
- Uday Chand Jha
- ICAR-Indian Institute of Pulses Research (IIPR), Kanpur, India
| | | | - Swarup K Parida
- National Institute of Plant Genome Research (NIPGR), New Delhi, India
| | - Melike Bakır
- Department of Agricultural Biotechnology, Faculty of Agriculture, Erciyes University, Kayseri, Turkey
| | - Eric J. B. von Wettberg
- Plant and Soil Science and Gund Institute for the Environment, The University of Vermont, Burlington, VT, United States
- Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia
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PIDS: A User-Friendly Plant DNA Fingerprint Database Management System. Genes (Basel) 2020; 11:genes11040373. [PMID: 32235513 PMCID: PMC7230844 DOI: 10.3390/genes11040373] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 03/27/2020] [Accepted: 03/29/2020] [Indexed: 11/23/2022] Open
Abstract
The high variability and somatic stability of DNA fingerprints can be used to identify individuals, which is of great value in plant breeding. DNA fingerprint databases are essential and important tools for plant molecular research because they provide powerful technical and information support for crop breeding, variety quality control, variety right protection, and molecular marker-assisted breeding. Building a DNA fingerprint database involves the production of large amounts of heterogeneous data for which storage, analysis, and retrieval are time and resource consuming. To process the large amounts of data generated by laboratories and conduct quality control, a database management system is urgently needed to track samples and analyze data. We developed the plant international DNA-fingerprinting system (PIDS) using an open source web server and free software that has automatic collection, storage, and efficient management functions based on merging and comparison algorithms to handle massive microsatellite DNA fingerprint data. PIDS also can perform genetic analyses. This system can match a corresponding capillary electrophoresis image on each primer locus as fingerprint data to upload to the server. PIDS provides free customization and extension of back-end functions to meet the requirements of different laboratories. This system can be a significant tool for plant breeders and can be applied in forensic science for human fingerprint identification, as well as in virus and microorganism research.
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